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Riccardo De Feo
Riccardo De Feo
Charles River Laboratories
Verified email at crl.com
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Cited by
Year
Transfer learning in magnetic resonance brain imaging: a systematic review
JM Valverde, V Imani, A Abdollahzadeh, R De Feo, M Prakash, R Ciszek, ...
Journal of imaging 7 (4), 66, 2021
872021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: the ADAM challenge
KM Timmins, IC van der Schaaf, E Bennink, YM Ruigrok, X An, ...
Neuroimage 238, 118216, 2021
452021
Towards an efficient segmentation of small rodents brain: a short critical review
R Feo, F Giove
Journal of neuroscience methods 323, 82-89, 2019
422019
Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases
R De Feo, A Shatillo, A Sierra, JM Valverde, O Gröhn, F Giove, J Tohka
NeuroImage 229, 117734, 2021
282021
RatLesNetv2: a fully convolutional network for rodent brain lesion segmentation
JM Valverde, A Shatillo, R De Feo, O Gröhn, A Sierra, J Tohka
Frontiers in neuroscience 14, 610239, 2020
192020
Performance of diffusion kurtosis imaging versus diffusion tensor imaging in discriminating between benign tissue, low and high Gleason grade prostate cancer
MG Di Trani, M Nezzo, AS Caporale, R De Feo, R Miano, A Mauriello, ...
Academic Radiology 26 (10), 1328-1337, 2019
192019
Convolutional neural networks enable robust automatic segmentation of the rat hippocampus in mri after traumatic brain injury
R De Feo, E Hämäläinen, E Manninen, R Immonen, JM Valverde, ...
Frontiers in Neurology 13, 820267, 2022
142022
Apparent diffusion coefficient assessment of brain development in normal fetuses and ventriculomegaly
MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, C Catalano, ...
Frontiers in Physics 7, 160, 2019
102019
Automatic rodent brain mri lesion segmentation with fully convolutional networks
JM Valverde, A Shatillo, R De Feo, O Gröhn, A Sierra, J Tohka
International Workshop on Machine Learning in Medical Imaging, 195-202, 2019
82019
Automatic cerebral hemisphere segmentation in rat mri with ischemic lesions via attention-based convolutional neural networks
JM Valverde, A Shatillo, R De Feo, J Tohka
Neuroinformatics 21 (1), 57-70, 2023
62023
Acute hippocampal damage as a prognostic biomarker for cognitive decline but not for epileptogenesis after experimental traumatic brain injury
E Manninen, K Chary, R De Feo, E Hämäläinen, P Andrade, T Paananen, ...
Biomedicines 10 (11), 2721, 2022
42022
Automated skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases
R De Feo, A Shatillo, A Sierra, JM Valverde, O Gröhn, F Giove, J Tohka
bioRxiv, 2020
22020
Hippocampal position and orientation as prognostic biomarkers for posttraumatic epileptogenesis: An experimental study in a rat lateral fluid percussion model
R De Feo, E Manninen, K Chary, E Hämäläinen, R Immonen, P Andrade, ...
Epilepsia 63 (7), 1849-1861, 2022
12022
Convolutional Neural Networks for Automatic Detection of Intact Adenovirus from TEM Imaging with Debris, Broken and Artefacts Particles
O Rukundo, A Behanova, R De Feo, S Ronkko, J Oja, J Tohka
arXiv preprint arXiv:2310.19630, 2023
2023
Convolutional neural networks for the segmentation of small rodent brain MRI
R De Feo
Itä-Suomen yliopisto, 2023
2023
Automatic segmentation of the rat brain hippocampus in MRI after traumatic brain injury
R De Feo, E Hämäläinen, E Manninen, R Immonen, JM Valverde, ...
bioRxiv, 2021.08. 03.454863, 2021
2021
Automatic hemisphere segmentation in rodent MRI with lesions.
JM Valverde, A Shatillo, R de Feo, J Tohka
CoRR, 2021
2021
Apparent diffusion coefficient values of the normal foetal brain developing
MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, S Bernardo, ...
Proceedings of the International School on Magnetic Resonance and Brain …, 2018
2018
Healthy human aging and sex dimorphism in bone-muscle cross talk: a 1H MRS investigation in bone marrow and muscle of legs.
S Capuani, R Coccurello, R De Feo, L Rossi, G Tuttobene, E Agrimi, ...
Reliable assessment of apparent diffusion coefficient in normal and ventriculomegaly fetal brains
MG Di Trani, L Manganaro, A Antonelli, M Guerreri, R De Feo, M Borrelli, ...
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